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Semantic Scholar · Article (IEEE International Workshops on Enabling Technologies: Infrastracture for Collaborative Enterprises)
On Safety of Decentralized Unmanned Aircraft System Traffic Management Using Blockchain
Attribution
This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and IEEE International Workshops on Enabling Technologies: Infrastracture for Collaborative Enterprises.
Abstract
Verbatim from Semantic Scholar. Not paraphrased, not summarized.
The increasing use of Unmanned Aerial Vehicles (UAVs), especially in the civil sector, has brought to the fore-front the challenge of managing and integrating them within national airspace alongside manned aircraft. Unmanned Traffic Management (UTM) is a specialized system designed to oversee unmanned aircraft operations. A UTM system provides an array of services and can adopt either a centralized or decentralized architecture. The decentralized architecture serves as a possible solution to the single point of failure problem; however, it may introduce security issues in the areas of identification, flight plan management and communication links. These issues invariably erode the performance and efficiency of the UTM. Renowned for its robust security capabilities, blockchain technology presents an effective means to enhance the security framework of a UTM. In this article, we delineate the security challenges that could impact a UTM, and we explore the avenues through which blockchain technology has been leveraged to address these challenges.
Authors
- Asma Hamissi
- Amine Dhraief ESEN
- Layth Sliman
Keywords
- Computer Science
- Engineering
Citation: Asma Hamissi, Amine Dhraief, Layth Sliman (2023). On Safety of Decentralized Unmanned Aircraft System Traffic Management Using Blockchain. IEEE International Workshops on Enabling Technologies: Infrastracture for Collaborative Enterprises. Semantic Scholar ID e4a1e79ca703a034edc1c6458f204a955a96262b. https://doi.org/10.1109/WETICE57085.2023.10477843 ↗